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Globalized economy more sensitive to recessions
Date:10/18/2010

By applying the same rules that explain how genomes evolve, Rice University physicists have shown that the world economy is more sensitive to recessionary shocks and recovers more slowly from recessions now than it did 40 years ago, due to increased trade globalization.

Their findings are available online and will appear in an upcoming issue of the Physical Review Letters.

"Standard economic theory suggests that trade networks with a more modular structure tend to recover more slowly from recessions, but using evolutionary theory we predicted the opposite, and U.N. trade data indicate we were right," said Michael Deem, the John W. Cox Professor in Biochemical and Genetic Engineering and professor of physics and astronomy at Rice.

Deem and co-author Jiankui He, a graduate student in physics and astronomy, studied United Nations trade data from the past 40 years and found the global economy has tended to react more sharply to recessions and to recover more slowly from them as globalization has increased.

The concept of modularity is key to understanding their findings. In biology, a module is a structure that is part of a larger system but can also function partly on its own, in much the same way that a modular piece of furniture might function either by itself or as part of larger ensemble. In living things, modularity is rampant at every scale -- from the genomes inside cells to the organs in human bodies.

In 2007, Deem and former postdoctoral fellow Jun Sun offered an explanation for biological modularity. They showed that modularly arose spontaneously in systems where evolution occurred relatively slowly and where information -- like genes -- could be swapped.

"What we showed in 2007 was that under certain conditions, a changing environment leads to the development of a modular structure," Deem said. "We considered the world trade network to be an evolving system, and we know information in the for
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Contact: David Ruth
druth@rice.edu
713-348-6327
Rice University
Source:Eurekalert

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